Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

Front Matter....Pages I-XII
Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression....Pages 1-8
Visual Saliency Based Active Learning for Prostate MRI Segmentation....Pages 9-16
Soft-Split Random Forest for Anatomy Labeling....Pages 17-25
A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation....Pages 26-35
Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods....Pages 36-43
Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs....Pages 44-51
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease....Pages 52-60
FADR: Functional-Anatomical Discriminative Regions for Rest fMRI Characterization....Pages 61-68
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space....Pages 69-76
Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer’s Disease....Pages 77-84
HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor....Pages 85-93
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences....Pages 94-101
Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation Model....Pages 102-109
Learning and Combining Image Similarities for Neonatal Brain Population Studies....Pages 110-117
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images....Pages 118-126
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation....Pages 127-135
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images....Pages 136-143
Brain Fiber Clustering Using Non-negative Kernelized Matching Pursuit....Pages 144-152
Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features....Pages 153-160
Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development....Pages 161-169
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes....Pages 170-177
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning....Pages 178-185
Multi-atlas Context Forests for Knee MR Image Segmentation....Pages 186-193
Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions....Pages 194-202
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations....Pages 203-211
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels....Pages 212-219
Flexible and Latent Structured Output Learning....Pages 220-228
Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer’s Disease Patients Using Functional Connectome Data....Pages 229-237
Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer’s Disease....Pages 238-245
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer’s Disease....Pages 246-254
Multi-view Classification for Identification of Alzheimer’s Disease....Pages 255-262
Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology....Pages 263-270
A Composite of Features for Learning-Based Coronary Artery Segmentation on Cardiac CT Angiography....Pages 271-279
Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation....Pages 280-287
Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features....Pages 288-295
Inherent Structure-Guided Multi-view Learning for Alzheimer’s Disease and Mild Cognitive Impairment Classification....Pages 296-303
Nonlinear Feature Transformation and Deep Fusion for Alzheimer’s Disease Staging Analysis....Pages 304-312
Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset....Pages 313-320
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data....Pages 321-329
Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations....Pages 330-337
Back Matter....Pages 339-341